Study on Influences of Atmospheric Factors on Vertical $\mbox{CO}_{2} $ Profile Retrieving From Ground-Based DIAL at 1.6 μm

Han, Ge; Gong, Wei; Lin, Hong; Ma, Xin; Xiang, Zhicheng

doi:10.1109/tgrs.2014.2372786

Cited by 29 publications

(16 citation statements)

References 39 publications

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“…Relevant line parameters are according to HITRAN 2016 [66]. A further description of relevant parameters, such as molecular spectra, laser line shape, etc., and the equation of the Voigt profile can be found in references on laser spectroscopy [39,41,58,67]. It is worth noting that an optical filter with an extreme narrow bandwidth is required to minimize the solar background.…”

Section: Appendix B Description Of Calculation Methods Of the Random mentioning

confidence: 99%

“…The absorption cross-section is calculated by using the Voigt profile which requires the Lorentzian half-width half-maximum (HWHM) as one of the input variables. The Lorentzian HWHM is a function of the pressure [58]. Consequently, the uncertainty of the pressure will propagate to the determination of the Lorentzian HWHM and will eventually propagate to the estimations of the number density for CO2.…”

Section: Estimation Of the Systematic Errormentioning

confidence: 99%

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Feasibility Study on Measuring Atmospheric CO2 in Urban Areas Using Spaceborne CO2-IPDA LIDAR

Han

Gong

et al. 2018

Remote Sensing

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Abstract:Since over 70% of carbon emissions are from urban areas, it is of great importance to develop an effective measurement technique that can accurately monitor atmospheric CO 2 in global urban areas. Remote sensing could be an effective way to achieve this goal. However, due to high aerosol loading in urban areas, there are large, inadequately resolved areas in the CO 2 products acquired by passive remote sensing. China is planning to launch the Atmospheric Environment Monitoring Satellite (AEMS) equipped with a CO 2 -light detecting and ranging (LIDAR) system. This work conducted a feasibility study on obtaining city-scale column CO 2 volume mixing ratios (XCO 2 ) using the LIDAR measurements. A performance framework consisting of a sensor model, sampling model, and environmental model was proposed to fulfill our demand. We found that both the coverage and the accuracy of the LIDAR-derived city-scale XCO 2 values were highly dependent on the orbit height. With an orbit height of 450 km, random errors of less than 0.3% are expected for all four metropolitan areas tested in this work. However, random errors of less than 0.3% were obtained in only two metropolitan areas with an orbit height of 705 km. Our simulations also showed that off-nadir sampling would improve the performance of a CO 2 -Integrated Path Differential Absorption (IPDA) LIDAR system operating in a 705 km orbit. These results indicate that an active remote sensing mission could help to effectively measure XCO 2 values in urban areas. More detailed studies are needed to reveal the potential of such equipment for improving the verification of carbon emissions and the estimation of urban carbon fluxes.

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Section: Appendix B Description Of Calculation Methods Of the Random mentioning

confidence: 99%

Section: Estimation Of the Systematic Errormentioning

confidence: 99%

Feasibility Study on Measuring Atmospheric CO2 in Urban Areas Using Spaceborne CO2-IPDA LIDAR

Han

Gong

et al. 2018

Remote Sensing

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“…Further descriptions of relevant parameters, such as molecular spectra, laser line shape, etc., can be found in existing studies [24,29,30] or textbooks [31].…”

Section: Random Errorsmentioning

confidence: 99%

Performance Evaluation for China’s Planned CO2-IPDA

Han

Liang

et al. 2017

Remote Sensing

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Active remote sensing of atmospheric XCO 2 has several advantages over existing passive remote sensors, including global coverage, a smaller footprint, improved penetration of aerosols, and night observation capabilities. China is planning to launch a multi-functional atmospheric observation satellite equipped with a CO 2 -IPDA (integrated path differential absorption Lidar) to measure columnar concentrations of atmospheric CO 2 globally. As space and power are limited on the satellite, compromises have been made to accommodate other passive sensors. In this study, we evaluated the sensitivity of the system's retrieval accuracy and precision to some critical parameters to determine whether the current configuration is adequate to obtain the desired results and whether any further compromises are possible. We then mapped the distribution of random errors across China and surrounding regions using pseudo-observations to explore the performance of the planned CO 2 -IPDA over these regions. We found that random errors of less than 0.3% can be expected for most regions of our study area, which will allow the provision of valuable data that will help researchers gain a deeper insight into carbon cycle processes and accurately estimate carbon uptake and emissions. However, in the areas where major anthropogenic carbon sources are located, and in coastal seas, random errors as high as 0.5% are predicted. This is predominantly due to the high concentrations of aerosols, which cause serious attenuation of returned signals. Novel retrieving methods must, therefore, be developed in the future to suppress interference from low surface reflectance and high aerosol loading.

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“…In selecting the operating wavelength, we had to consider many factors, such as low temperature sensitivity and low interference from other molecules. Previous studies showed that H 2 O is the most critical interference molecule in the absorption spectroscopy of CO 2 [31,32]. As shown in Figure 2, R10, R12, and R20 are inappropriate because they are considerably affected by interferences from H 2 O. R16 is the most appropriate because the intensity of this peak is the strongest, and the influence of H 2 O in this band is less than that in R14 and R18.…”

Section: Simulation Analysismentioning

confidence: 97%

“…Most spectroscopic parameters of CO 2 lines for the simulation analysis were obtained from Predoi-Cross et al [28] and HITRAN 2012 [29]. The spectroscopic parameters of the absorption lines of H 2 O were obtained from HITEMP 2010 [30,31]. According to the HITRAN 2012 molecular spectroscopic database, six absorption lines in the range of the 30012-00001 carbon-dioxide band were studied because their intensities were evidently higher than those of others.…”

Section: Simulation Analysismentioning

confidence: 99%

Feasibility Study of Multi-Wavelength Differential Absorption LIDAR for CO2 Monitoring

Xiang

Liang

et al. 2016

Atmosphere

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Abstract:To obtain a better understanding of carbon cycle and accurate climate prediction models, highly accurate and temporal resolution observation of atmospheric CO 2 is necessary. Differential absorption LIDAR (DIAL) remote sensing is a promising technology to detect atmospheric CO 2 . However, the traditional DIAL system is the dual-wavelength DIAL (DW-DIAL), which has strict requirements for wavelength accuracy and stability. Moreover, for on-line and off-line wavelengths, the system's optical efficiency and the change of atmospheric parameters are assumed to be the same in the DW-DIAL system. This assumption inevitably produces measurement errors, especially under rapid aerosol changes. In this study, a multi-wavelength DIAL (MW-DIAL) is proposed to map atmospheric CO 2 concentration. The MW-DIAL conducts inversion with one on-line and multiple off-line wavelengths. Multiple concentrations of CO 2 are then obtained through difference processing between the single on-line and each of the off-line wavelengths. In addition, the least square method is adopted to optimize inversion results. Consequently, the inversion concentration of CO 2 in the MW-DIAL system is found to be the weighted average of the multiple concentrations. Simulation analysis and laboratory experiments were conducted to evaluate the inversion precision of MW-DIAL. For comparison, traditional DW-DIAL simulations were also conducted. Simulation analysis demonstrated that, given the drifting wavelengths of the laser, the detection accuracy of CO 2 when using MW-DIAL is higher than that when using DW-DIAL, especially when the drift is large. A laboratory experiment was also performed to verify the simulation analysis.

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Study on Influences of Atmospheric Factors on Vertical $\mbox{CO}_{2} $ Profile Retrieving From Ground-Based DIAL at 1.6 μm

Cited by 29 publications

References 39 publications

Feasibility Study on Measuring Atmospheric CO2 in Urban Areas Using Spaceborne CO2-IPDA LIDAR

Feasibility Study on Measuring Atmospheric CO2 in Urban Areas Using Spaceborne CO2-IPDA LIDAR

Performance Evaluation for China’s Planned CO2-IPDA

Feasibility Study of Multi-Wavelength Differential Absorption LIDAR for CO2 Monitoring

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